Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (11): 3268-3273.doi: 10.13229/j.cnki.jdxbgxb.20220736

Previous Articles     Next Articles

Design of communication data classification algorithm based on fuzzy segmentation of time series

Yong-fei ZHANG1(),Tao CHEN2()   

  1. 1.College of Science and Technology,Nanchang University,Jiujiang 332020,China
    2.School of Mathematics and Computer Sciences,Nanchang University,Nanchang 330031,China
  • Received:2022-06-13 Online:2023-11-01 Published:2023-12-06
  • Contact: Tao CHEN E-mail:zyf3201002@163.com;zyf5353@163.com

Abstract:

Due to the obvious unbalance of communication data set, the difficulty of classification is greatly increased. Therefore, a time series fuzzy segmentation classification algorithm is proposed. Using the principal component analysis method, the feature vector with the largest eigenvalue is obtained, the time series of the data is established according to the interval number theory, and the segmentation target of the time series of the communication data is characterized by the Langley distance measure function between the data and the class. The classification result of the fuzzy segmentation is obtained according to the judgment relationship between the difference of the fuzzy classification matrix and the convergence condition. The experimental results verify that the data quantity of the three classification cases is always at the corresponding ideal level, with high accuracy and low error and failure.

Key words: time series, fuzzy segmentation, communication data, classification algorithm, principal component analysis, interval fuzzy number

CLC Number: 

  • TP391

Table 1

Scale information of communication datasets"

数据集正类负类总数量
110401241164
211857971982
39633981361
4353244597
58302121042
69253411266
79011801081
811131441257
98196851504
10700137837

Fig.1

Schematic diagram of the communication data classification results of different methods"

Fig.2

Schematic diagram of data classification effect evaluation of different methods"

1 黄燚, 刘珍, 王若愚, 等. 移动互联网流量分类的多特征集合和多类别标签研究[J]. 计算机应用研究, 2020, 37(11): 3353-3358.
Huang Yi, Liu Zhen, Wang Ruo-yu, et al. Research on multi-feature sets and multi-class labels for mobile Internet traffic classification[J]. Computer Application Research, 2020, 37(11): 3353-3358.
2 Huang W, Zhou S, Zhu T, et al. Privately publishing Internet of things data: bring personalized sampling into differentially private mechanisms[J]. IEEE Internet of Things Journal, 2021, 9(1): 80-91.
3 Li L, Zhang X, Yue W, et al. Cooperative search for dynamic targets by multiple UAVs with communication data losses[J]. ISA Transactions, 2021, 114(4): 230-241.
4 Mai K, Saeed W, Medi I. Churn prediction in digital game-based learning using data mining techniques: logistic regression, decision tree, and random forest[J]. Applied Soft Computing, 2022, 118(1): 108491.
5 Shen F, Liu Y, Wang R, et al. A dynamic financial distress forecast model with multiple forecast results under unbalanced data environment[J]. Knowledge-Based Systems, 2020, 192: 105365.
6 侯贝贝, 刘三阳, 普事业. 基于边界混合重采样的非平衡数据分类方法[J]. 计算机工程与应用, 2020, 56(1): 46-52.
Hou Bei-bei, Liu San-yang, Pu Shi-ye. Imbalanced data classification method based on boundary mixed resampling[J]. Computer Engineering and Applications, 2020, 56(1): 46-52.
7 李锦珑, 包理群, 周彬. 改进果蝇优化算法及其在不平衡数据分类中的应用[J]. 西北师范大学学报: 自然科学版, 2021, 57(3): 57-61.
Li Jin-long, Bao Li-qun, Zhou Bin. Improved fruit fly optimization algorithm and its application in imbalanced data classification[J]. Journal of Northwest Normal University (Natural Science Edition), 2021, 57(3): 57-61.
8 陈清, 张程. 区间约束下移动终端用户偏好的数据挖掘模型[J]. 计算机仿真, 2020, 37(11):320-323.
Chen Qing, Zhang Cheng. Data mining model of mobile terminal user preference under interval constraints[J]. Computer Simulation, 2020, 37(11): 320-323.
9 Huang L, Zhang Q, Zhang L, et al. Efficiency enhancement for underwater adaptive modulation and coding systems: via sparse principal component analysis[J]. IEEE Communications Letters, 2020, 24(8): 1808-1811.
10 张海燕, 武晓蓓, 李娜. 基于非对称分布散点分位数的区间数据回归分析[J]. 统计与决策, 2022, 38(2): 26-32.
Zhang Hai-yan, Wu Xiao-bei, Li Na. Regression analysis of interval data based on scattered quantiles of asymmetric distribution[J]. Statistics and Decision-Making, 2022, 38(2): 26-32.
11 乔剑敏, 李沃源, 赵新平, 等. 一种有方案偏好的TOPSIS区间直觉模糊多属性决策方法[J]. 数学的实践与认识, 2020, 50(6): 322-328.
Qiao Jian-min, Li Wo-yuan, Zhao Xin-ping, et al. A TOPSIS interval intuitionistic fuzzy multi-attribute decision-making method with scheme preference[J]. Practice and Understanding of Mathematics, 2020, 50(6): 322-328.
12 Wu X, Zhou H, Wu B, et al. A possibilistic fuzzy gath-geva clustering algorithm using the exponential distance[J]. Expert Systems with Applications, 2021, 184(5): 115550.
13 沙秀艳, 尹传存, 徐泽水. 基于指数熵加权的降维犹豫模糊兰氏距离测度及应用[J]. 控制与决策, 2020, 35(3): 728-734.
Sha Xiu-yan, Yin Chuan-cun, Xu Ze-shui. Dimensionality reduction hesitant fuzzy rankine distance measurement and application based on exponential entropy weighting[J]. Control and Decision, 2020, 35(3): 728-734.
14 何新林, 戚宗锋, 李建勋. 基于隐变量后验生成对抗网络的不平衡学习[J]. 上海交通大学学报, 2021, 55(5): 557-565.
He Xin-lin, Qi Zong-feng, Li Jian-xun. Imbalanced learning based on latent variable posterior generative adversarial networks[J]. Journal of Shanghai Jiaotong University, 2021, 55(5): 557-565.
15 Akram M, Ullah I, Alharbi M G. Methods for solving LR-Type pythagorean fuzzy linear programming problems with mixed constraints[J]. Mathematical Problems in Engineering, 2021(1): 1-29.
16 Lochbihler A. A mechanized proof of the max-flow min-cut theorem for countable networks with applications to probability theory[J]. Journal of Automated Reasoning, 2022(1): 1-26.
17 Dakulagi V, Bakhar M. Advances in smart antenna systems for wireless communication[J]. Wireless Personal Communications, 2020, 110(2): 931-957.
18 Chicco D, Jurman G. The advantages of the matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation[J]. BMC Genomics, 2020, 21(6): 1-13.
19 翁渊瀚, 李南. 基于时间序列模型的文本数据压缩存储算法[J]. 吉林大学学报: 工学版, 2023, 53(7): 2109-2114.
Weng Yuan-han, Li Nan. Text data compression storage algorithm based on time series model[J]. Journal of Jilin University(Engineering and Technology Edition), 2023,53(7): 2109-2114.
20 宋震,柳杰. 旋转机械振动频率时间序列预测算法[J]. 吉林大学学报: 工学版, 2022, 52(8): 1764-1769.
Song Zhen, Liu Jie. Vibration frequency time series prediction algorithm for rotating machinery[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1764-1769.
[1] Shi-jun SONG,Min FAN. Design of big data anomaly detection model based on random forest algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(9): 2659-2665.
[2] Yuan-han WENG,Nan LI. Text data compression and storage algorithm based on time series model [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(7): 2109-2114.
[3] Yan LI,Jiu-peng ZHANG,Zi-xuan CHEN,Guo-jing HUANG,Pei WANG. Evaluation of asphalt pavement performance based on PCA⁃PSO⁃SVM [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1729-1735.
[4] Rui-shan DU,Yu-xin CHEN,Ling-dong MENG. Trusted cloud computing platform poly source big data time sequence scheduling algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(11): 3194-3200.
[5] Chao-gang ZHANG,Zhong-lou SHI,Min LI. Simulation of ultra-precision machine tool spindle fault diagnosis based on multi-state time series predictive learning [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(11): 3056-3061.
[6] Lin JIANG,Li YANG,Wen-jun ZHANG,Qiong-yu ZHANG,Yan-xia WU. Detection and processing algorithm of slope point cloud in obstacle detection [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(11): 3221-3228.
[7] Qiang GUO,Ming-song LI,Kai ZHOU. Multi⁃mode radar signal sorting based on potential distance graph and improved cloud model [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1904-1911.
[8] Zhen SONG,Jie LIU. Time series prediction algorithm of vibration frequency of rotating machinery [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1764-1769.
[9] Zhen CAO,Lu-yao CUI,Bin LEI,Jing-yi WANG,Shuang-sheng CAO. Feature dimensionality reduction and random forest method in intelligent diagnosis of rolling bearings for urban rail trains [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(10): 2287-2293.
[10] Hong-xue LI,Shi-wu LI,Wen-cai SUN,Wei LI,Meng-zhu GUO. Driving cycle construction of heavy semi⁃trailers carrying hazardous cargos [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(5): 1700-1707.
[11] Li-qun WU,Liang-liang ZHANG. Health detection of bridge structures based on data mining technology [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 565-571.
[12] LIU Zhe, XU Tao, SONG Yu-qing, XU Chun-yan. Image fusion technology based on NSCT and robust principal component analysis model with similar information [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1614-1620.
[13] ZHANG Man, SHI Shu-ming. Analysis of state transition characteristics for typical vehicle driving cycles [J]. 吉林大学学报(工学版), 2018, 48(4): 1008-1015.
[14] GENG Qing-tian, YU Fan-hua, WANG Yu-ting, GAO Qi-kun. New algorithm for vehicle type detection based on feature fusion [J]. 吉林大学学报(工学版), 2018, 48(3): 929-935.
[15] LIU Shu, JIANG Qi-gang, ZHU Hang, LI Xiao-dong. Reconstruction of Landsat NDVI time series of Xianghai natural deserve based on a hybrid filtering algorithm Hyb-F [J]. 吉林大学学报(工学版), 2018, 48(3): 957-967.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LI Shoutao, LI Yuanchun. Autonomous Mobile Robot Control Algorithm Based on Hierarchical Fuzzy Behaviors in Unknown Environments[J]. 吉林大学学报(工学版), 2005, 35(04): 391 -397 .
[2] Liu Qing-min,Wang Long-shan,Chen Xiang-wei,Li Guo-fa. Ball nut detection by machine vision[J]. 吉林大学学报(工学版), 2006, 36(04): 534 -538 .
[3] Li Hong-ying; Shi Wei-guang;Gan Shu-cai. Electromagnetic properties and microwave absorbing property
of Z type hexaferrite Ba3-xLaxCo2Fe24O41
[J]. 吉林大学学报(工学版), 2006, 36(06): 856 -0860 .
[4] Zhang Quan-fa,Li Ming-zhe,Sun Gang,Ge Xin . Comparison between flexible and rigid blank-holding in multi-point forming[J]. 吉林大学学报(工学版), 2007, 37(01): 25 -30 .
[5] Yang Shu-kai, Song Chuan-xue, An Xiao-juan, Cai Zhang-lin . Analyzing effects of suspension bushing elasticity
on vehicle yaw response character with virtual prototype method
[J]. 吉林大学学报(工学版), 2007, 37(05): 994 -0999 .
[6] . [J]. 吉林大学学报(工学版), 2007, 37(06): 1284 -1287 .
[7] Che Xiang-jiu,Liu Da-you,Wang Zheng-xuan . Construction of joining surface with G1 continuity for two NURBS surfaces[J]. 吉林大学学报(工学版), 2007, 37(04): 838 -841 .
[8] Liu Han-bing, Jiao Yu-ling, Liang Chun-yu,Qin Wei-jun . Effect of shape function on computing precision in meshless methods[J]. 吉林大学学报(工学版), 2007, 37(03): 715 -0720 .
[9] . [J]. 吉林大学学报(工学版), 2007, 37(04): 0 .
[10] Li Yue-ying,Liu Yong-bing,Chen Hua . Surface hardening and tribological properties of a cam materials[J]. 吉林大学学报(工学版), 2007, 37(05): 1064 -1068 .